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GabriellaCerrai/README.md

Me in a Nutshell:

  • 👋🏻 Hi here! I’m Gabriella Cerrai; I'm 27 y.o.
  • 📍 Born and raised in Johannesburg; currently based in Cape Town
  • ❤️‍🔥 I’m passionate about working with data and exercising analytical & critical thinking skills to further my career in the Data & Tech space
  • 💻 I'm working on identifying weak areas in my coding abilities as a current coding novice - playing around with datasets and finding ways to further develop my Python skills
  • 💡 The projects on my profile are mini projects that I have made for myself as challenges as well as some repos containing code from university Statistics projects that I worked on

Techstack:

  • Languages: R, MySQL (basic); Python (intermediate)
  • Tools: R Studio, R Markdown, MySQL Workbench, Jupyter
  • Packages: numpy, pandas, statsmodels, sklearn, matplotlib, tensorflow

Goals:

  • Career development and expansion within Data & Tech
  • Skill development and enrichment

Pinned Loading

  1. Approaching-Null-Values-in-a-Dataset Approaching-Null-Values-in-a-Dataset Public

    This repo contains code that focuses on three different methods of dealing with null values in a dataset.

    Jupyter Notebook

  2. Car-Price-Logistic-Regression-Model Car-Price-Logistic-Regression-Model Public

    Code for a logistic regression model predicting the price of a car using the following predictor variables: body, mileage, engine volume, engine type, registration and year purchased.

    Jupyter Notebook

  3. R_Machine_Learning_Classification R_Machine_Learning_Classification Public

    This project is a classification problem with a response variable to classify handwritten images as the numbers, 'one', 'seven' or 'eight. This is a classification problem using the Cross Entropy l…

    R

  4. R_regression_analysis2 R_regression_analysis2 Public

    This regression analysis is used to predict the LBM (lean body mass) of athletes and whether or not there is a difference in LBM for males and females. The analysis uses the following explanatory v…

    R

  5. Simple-K-Means-Clustering Simple-K-Means-Clustering Public

    This document features clustering a wine data set. This analysis looks at the 'Colour Intensity' and 'Flavinoids' variables in the data set and is a simple demonstration of how the K-Means method c…

    Jupyter Notebook

  6. Simple-Linear-Regression-3-Ways- Simple-Linear-Regression-3-Ways- Public

    This repo contains code to create a simple Linear Regression model in 3 different ways: 1) Python - using statsmodels 2) Python - using sklearn and 3) R using the linear model (lm) function. This c…

    Jupyter Notebook